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Deutsche Telekom Chair of Mobile Business & Multilateral SecurityDeutsche TelekomDeutsche Telekom Chair of Mobile Business & Multilateral Security

Privacy vs. Data: Business Models in the digital, mobile Economy

Basic Information

Type of Lecture:
Credit Points:
Summer 2019
Content of the Course

The majority of business models in the digital economy heavily rely on the existence of user data in order to enable a value proposition for users. For instance, advertisers use data for the targeting of advertisements whereas others apply it for the personalisation of their service offerings. However, what is beneficial for businesses often becomes of a threat to the privacy of users – especially if highly sensitive data, such as location data, is collected and processed without their consent. Within the digital economy field, this course is going to explore the area of conflict between data-centric business models and user privacy. Since mobile devices accumulate a significant amount of personal data about individuals, the following topics will be covered and examined with a special focus from this „mobile“ perspective:

  • Digital data-driven business models
  • Means of data collection and its threat to privacy
  • Privacy and Data Protection
  • Basics of Information Security
  • Interplay between data and privacy within digital business models

Further information at the corresponding LSF/QIS webpage of the course.


No initial readings are required for the course.




Time and Place:

  • Mon, 29.04.19, 9 am - 5 pm (Room 2.202, RuW building)
  • Tue, 30.04.19, 9 am - 5 pm (Room 2.202, RuW building)
  • Thu, 02.05.19, 9 am - 5 pm (Room 3.201, RuW building)
  • Fri, 03.05.19, 9 am - 5 pm (Room 2.202, RuW building)
  • Sat, 04.05.19, 9 pm - 5 pm (Room 2.202, RuW building)

Note: The course starts every day "cum tempore" (ct.) 



  • Lecture 1: Introduction to Course and Organisation <Download>
  • Lecture 2: Customer Touchpoints <Download>
  • Lecture 3: Products & Services <Download>
  • Lecture 4: Business Models & Innovation <Download>
  • Lecture 5: Digital Business - Enablers & Platform Models <Download>
  • Lecture 6: Big Four of Digital Business <Download>
  • Lecture 7+8: Data Capital <Download>
  • Lecture 9: Online Profiling Challenge (Update) <Download>
  • Lecture 10+11: Privacy & Privacy Protection <Download>
  • Lecture 12: From Data to Artificial Intelligence <Download>
  • Lecture 13: Tradeoff between Privacy vs. Business Value <Download>
  • Lecture 14: Course Conclusion & Takeaways <Download>
  • Course Exercises <Download>
  • World Café <Download>

All downloads are password protected. Participating students will receive the password via e-mail to their student e-mail accounts.


For the course registration and written exam sign-up, please visit the the official LSF/QIS page of the course.

0000-00-00 00:00:00 - 0000-00-00 00:00:00
Maximum participants:

The written exam is held in German whereas students are allowed to answer in either German or English. For more information on the written exam, esp. the exam date, please refer to the examination office.